**Ayesha Athar**
03492116113
ayesha.athar7821@gmail.com
linkedin.com/in/ayesha-athar-ali
github.com/AyeshaAtharAli
Bagh Sardaran, Rawalpindi, Pakistan

### **Professional Summary**
Computer Science graduate (3.86 CGPA) passionate about AI integration and development, with hands-on experience in Machine Learning, computer vision, and real-time application development. Skilled in Python, OpenCV, TensorFlow, and API integration. Eager to contribute to impactful AI-driven solutions in a collaborative team environment. Keen to explore research opportunities in applied AI, particularly in computer vision and healthcare.

### **Education**
**BSCS** | 8th Semester | 3.86 CGPA
University of Engineering and Technology, Taxila
2021 – Present

**FSC (Pre-Engineering)** | 93%
Steps College, Rawalpindi
2019 – 2021

**Matric** | 89%
International Public School, Rawalpindi
2018

### **Professional Experience**
**Web Developer (Internship)** | CodSoft | Apr 2024 – May 2024
- Designed and deployed a personal portfolio website showcasing web development skills.
- Developed a professional landing page with responsive layout and interactive UI features.
- Built a JavaScript-based calculator demonstrating logic implementation and DOM manipulation.

**Freelancer (Machine Learning, Python, Java, C++ Coding)** | Fiverr | Feb 2024 – Present
- Completed diverse ML and web development tasks for global clients.
- Developed predictive models, image classification solutions, and data analysis pipelines.
- Built responsive static sites and dynamic web components using HTML, CSS, JavaScript, and React.

### **Skills**
**Core AI/ML:** Machine Learning, Deep Learning, Computer Vision, CNNs, Data Preprocessing, Image Processing, Data Analysis
**Programming:** Python, C++, Java
**Libraries/Tools:** TensorFlow, Keras, OpenCV, NumPy, Pandas, Scikit-learn, Jupyter Notebook
**Additional:** SQL, Git, React, Node.js

### **Projects**
**Skin Lesion Classification** | CNN | TensorFlow | Keras
- Trained CNN model on HAM10000 dataset to classify 7 types of skin lesions (90% accuracy).
- Authored a research paper detailing methodology and results.

**Diabetes Diagnosis using ML** | Python | Pandas | Scikit-learn
- Implemented KNN, Decision Tree, and Random Forest models.
- Conducted EDA, preprocessing, and hyperparameter tuning for improved accuracy.

**Vehicle Detection** | Python | OpenCV
- Developed real-time object detection using background subtraction and centroid tracking.

**Library Management System** | C# | .NET Framework | SQL Server
- Built a desktop app with role-based dashboards, book tracking, and SQL Server integration.

**Final Year Project – TAPLEY: Unified Service Aggregator App**
- Cross-platform mobile app integrating ride-hailing, food, and e-commerce services.
- Integrated Bykea and Yango APIs for real-time fare comparison.
- Used React Native, Node.js, MongoDB, and Firebase for authentication.

### **Languages & Frameworks**
**Languages:** HTML, CSS, JavaScript, Python, Java, C++, PHP, XML, MySQL
**Frameworks:** React.js, Node.js, .NET, Machine Learning Frameworks, MPI, OpenMP

### **Certifications & Awards**
- **Huawei ICT Competition 2024-2025 National Final Winner (4th Position)**
- **Prime Minister Youth Laptop Scheme Awardee**
- **LeetCode 50 Days Challenge Badge**
- **Huawei Basics of Network Layer Protocols Micro Certification**
- **Speech & Debate Participation Awards**

### **Volunteer Work**
**Comptech** | Executive Member, Decor Team (2023) | General Member (2022)

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